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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12217318 B1

PDFFull Text
Date of Patent:
Feb. 04, 2025

Filed:

Jun. 30, 2022

Ai-augmented auditing platform including techniques for automated document processing

Applicant:

Pwc Product Sales Llc, New York, NY (US);

Inventors:

Chung-Sheng Li, Scarsdale, NY (US);

Winnie Cheng, West New York, NJ (US);

Mark John Flavell, Madison, NJ (US);

Lori Marie Hallmark, Xenia, OH (US);

Nancy Alayne Lizotte, Saline, MI (US);

Anand Srinivasa Rao, Lexington, MA (US);

Kevin Ma Leong, Randolph, NJ (US);

Di Zhu, Jersey City, NJ (US);

Timothy Delille, New York, NY (US);

Maria Jesus Perez Ramirez, New York, NY (US);

Yuan Wan, Irvine, CA (US);

Ratna Raj Singh, Mumbai, IN;

Vishakha Bansal, Meerut, IN;

Shaz Hoda, New York, NY (US);

Amitoj Singh, New Delhi, IN;

Siddhesh Shivaji Zanj, Mumbai, IN;

Assignee:

PwC Product Sales LLC, New York, NY (US);

Attorney:

Morrison & Foerster LLP

Primary Examiner:

Alexander Khong

Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/93 (2019.01); G06N 5/022 (2023.01); G06N 5/04 (2023.01); G06N 5/045 (2023.01); G06Q 10/0635 (2023.01); G06Q 30/018 (2023.01); G06Q 40/12 (2023.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06Q 40/12 (2013.12); G06F 16/3347 (2019.01); G06F 16/353 (2019.01); G06F 16/93 (2019.01); G06N 5/022 (2013.01); G06N 5/041 (2013.01); G06N 5/045 (2013.01); G06Q 10/0635 (2013.01); G06Q 30/018 (2013.01); G06V 30/412 (2022.01); G06V 30/416 (2022.01);
Abstract

Systems and methods for automated document processing for use in AI-augmented auditing platforms are provided. A system for determining the composition of document bundles extracts substantive content information and metadata information from a document bundle and generates, based on the extracted information regarding a composition of the document bundle. A system for validating signatures in documents extracts data representing a spatial location for respective signatures and generates a confidence level for respective signatures, and determines, based on location and confidence level, whether signature criteria are met. A system for extracting information from documents applies a set of data conversion processing steps to a plurality received documents to generate structured data, and then applies a set of knowledge-based modeling processing steps to the structured data to generating output data extracted from the plurality of electronic documents.

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